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I am a Senior Generative AI Engineer with 13+ years of experience in AI/ML and 3+ years of deep hands-on expertise in LLM application development, RAG architectures, and enterprise Copilot solutions. I design and build production-grade GenAI systems using foundation models, including Retrieval-Augmented Generation (RAG), GraphRAG, and agentic workflows, enabling intelligent enterprise assistants and domain-specific copilots. My strengths include prompt optimization, context management, embeddings, fine-tuning strategies, and evaluation frameworks (RAGAS, LangSmith). I develop enterprise copilots and AI assistants integrated with structured and unstructured data sources, leveraging LangChain, LangGraph, AutoGen, and Hugging Face to build scalable multi-agent reasoning pipelines. I also lead end-to-end GenAI architecture and deployment via FastAPI, Docker, Kubernetes, and cloud platforms (AWS, Azure, GCP).…I am a Senior Generative AI Engineer with 13+ years of experience in AI/ML and 3+ years of deep hands-on expertise in LLM application development, RAG architectures, and enterprise Copilot solutions. I design and build production-grade GenAI systems using foundation models, including Retrieval-Augmented Generation (RAG), GraphRAG, and agentic workflows, enabling intelligent enterprise assistants and domain-specific copilots. My strengths include prompt optimization, context management, embeddings, fine-tuning strategies, and evaluation frameworks (RAGAS, LangSmith). I develop enterprise copilots and AI assistants integrated with structured and unstructured data sources, leveraging LangChain, LangGraph, AutoGen, and Hugging Face to build scalable multi-agent reasoning pipelines. I also lead end-to-end GenAI architecture and deployment via FastAPI, Docker, Kubernetes, and cloud platforms (AWS, Azure, GCP).

V Durga Bhavani

Data Scientist, AI Engineer, Web Developer, +2

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I am a Senior Generative AI Engineer with 13+ years of experience in AI/ML and 3+ years of deep hands-on expertise in LLM application development, RAG architectures, and enterprise Copilot solutions. I design and build production-grade GenAI systems using foundation models, including Retrieval-Augmented Generation (RAG), GraphRAG, and agentic workflows, enabling intelligent enterprise assistants and domain-specific copilots. My strengths include prompt optimization, context management, embeddings, fine-tuning strategies, and evaluation frameworks (RAGAS, LangSmith). I develop enterprise copilots and AI assistants integrated with structured and unstructured data sources, leveraging LangChain, LangGraph, AutoGen, and Hugging Face to build scalable multi-agent reasoning pipelines. I also lead end-to-end GenAI architecture and deployment via FastAPI, Docker, Kubernetes, and cloud platforms (AWS, Azure, GCP).…I am a Senior Generative AI Engineer with 13+ years of experience in AI/ML and 3+ years of deep hands-on expertise in LLM application development, RAG architectures, and enterprise Copilot solutions. I design and build production-grade GenAI systems using foundation models, including Retrieval-Augmented Generation (RAG), GraphRAG, and agentic workflows, enabling intelligent enterprise assistants and domain-specific copilots. My strengths include prompt optimization, context management, embeddings, fine-tuning strategies, and evaluation frameworks (RAGAS, LangSmith). I develop enterprise copilots and AI assistants integrated with structured and unstructured data sources, leveraging LangChain, LangGraph, AutoGen, and Hugging Face to build scalable multi-agent reasoning pipelines. I also lead end-to-end GenAI architecture and deployment via FastAPI, Docker, Kubernetes, and cloud platforms (AWS, Azure, GCP).

Available to hire

I am a Senior Generative AI Engineer with 13+ years of experience in AI/ML and 3+ years of deep hands-on expertise in LLM application development, RAG architectures, and enterprise Copilot solutions.

I design and build production-grade GenAI systems using foundation models, including Retrieval-Augmented Generation (RAG), GraphRAG, and agentic workflows, enabling intelligent enterprise assistants and domain-specific copilots. My strengths include prompt optimization, context management, embeddings, fine-tuning strategies, and evaluation frameworks (RAGAS, LangSmith). I develop enterprise copilots and AI assistants integrated with structured and unstructured data sources, leveraging LangChain, LangGraph, AutoGen, and Hugging Face to build scalable multi-agent reasoning pipelines. I also lead end-to-end GenAI architecture and deployment via FastAPI, Docker, Kubernetes, and cloud platforms (AWS, Azure, GCP).

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Senior Gen AI/ML Engineer at LabCorp, Raleigh, NC

June 1, 2023 - Present

Designed and developed enterprise-grade GenAI Copilot solutions leveraging LLMs (OpenAI, Azure OpenAI) to assist clinicians with real-time knowledge retrieval and decision support. Built advanced RAG and GraphRAG pipelines combining vector search (Pinecone/FAISS) with knowledge graphs to improve contextual accuracy and reduce hallucinations. Engineered multi-agent AI systems (LangGraph, AutoGen) to enable autonomous reasoning, task orchestration, and workflow automation across clinical data sources. Developed Copilot-style conversational interfaces integrated with enterprise applications using FastAPI and REST APIs. Implemented LLM fine-tuning and prompt engineering strategies to optimize domain-specific responses for healthcare use cases. Built scalable document ingestion and embedding pipelines for structured/unstructured medical data (PDFs, EHR, research docs). Designed and implemented LLMOps pipelines (CI/CD, prompt versioning, monitoring) for production-grade GenAI deployments. Es

Data Scientist at LabCorp

December 1, 2020 - May 31, 2023

Designed and implemented early-stage LLM-powered solutions for financial document analysis; built retrieval-based NLP systems; developed internal Copilot-style AI assistant to automate query resolution, document summarization, and insights generation from large financial corpora. Created semantic search pipelines using embeddings to enable context-aware retrieval; implemented prompt engineering for financial use cases; built modular LLM pipelines; developed Named Entity Recognition (NER) and document classification to automate tagging; collaborated with enterprise data teams to explore LLM integration with secure platforms; deployed microservices using FastAPI and built dashboards for stakeholder visibility; contributed to MLOps (model versioning, deployment, monitoring); created interactive dashboards for business stakeholders.

Data Scientist at Comcast (Client: Comcast, Eden Prairie, MN)

April 1, 2018 - November 30, 2020

Analyzed customer, network, and operational data to identify trends and service issues; built automated dashboards (Tableau, Power BI) to monitor churn, service performance, and customer experience metrics; developed ETL pipelines; performed root-cause analysis on outages; created forecasting and anomaly detection models; migrated workloads to cloud storage and data warehouses (AWS S3, BigQuery); built self-service AI tooling and microservices for data access; collaborated with cross-functional teams to deliver AI-driven automation; contributed to ML lifecycle management and monitoring.

Data Analyst at BlueCross BlueShield

October 1, 2015 - March 1, 2018

Designed real-time analytics dashboards in Tableau and Power BI; built ETL pipelines from CRM, billing, and network monitoring; processed streaming data with Spark and Kafka for near real-time visibility; developed predictive models for churn reduction; built dimensional models (Star/Snowflake) and migrated workloads to AWS; automated data quality checks and anomaly detection; performed A/B tests to optimize campaigns; created APIs and dashboards for stakeholders.

Web/Python Developer at Technosoft Solutions

July 1, 2011 - October 1, 2013

Developed Python/Django web applications to process and visualize real-time telecom network and customer data; built ETL pipelines; designed dashboards with JavaScript/jQuery; implemented RESTful APIs to connect network systems and dashboards; automated reporting workflows; built asynchronous background jobs; performed testing and performance monitoring.